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Microgrid Systems: Towards a Technical Performance Assessment Frame

Author

Listed:
  • Sophie Marchand

    (Fraunhofer Institute for Solar Energy Systems ISE, Heidenhofstraße 2, 79110 Freiburg, Germany)

  • Cristian Monsalve

    (Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB—Advanced System Technology Branch AST, Am Vogelherd 90, 98693 Ilmenau, Germany)

  • Thorsten Reimann

    (Fraunhofer Institute for Energy Economics and Energy System Technology IEE, Königstor 59, 34119 Kassel, Germany)

  • Wolfram Heckmann

    (Fraunhofer Institute for Energy Economics and Energy System Technology IEE, Königstor 59, 34119 Kassel, Germany)

  • Jakob Ungerland

    (Fraunhofer Institute for Solar Energy Systems ISE, Heidenhofstraße 2, 79110 Freiburg, Germany)

  • Hagen Lauer

    (Fraunhofer Institute for Secure Information Technology SIT, Rheinstraße 75, 64295 Darmstadt, Germany)

  • Stephan Ruhe

    (Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB—Advanced System Technology Branch AST, Am Vogelherd 90, 98693 Ilmenau, Germany)

  • Christoph Krauß

    (Fraunhofer Institute for Secure Information Technology SIT, Rheinstraße 75, 64295 Darmstadt, Germany)

Abstract

A microgrid is an independent power system that can be connected to the grid or operated in an islanded mode. This single grid entity is widely used for furthering access to energy and ensuring reliable energy supply. However, if islanded, microgrids do not benefit from the high inertia of the main grid and can be subject to high variations in terms of voltage and frequency, which challenge their stability. In addition, operability and interoperability requirements, standards as well as directives have addressed main concerns regarding a microgrid’s reliability, use of distributed local resources and cybersecurity. Nevertheless, microgrid systems are quickly evolving through digitalization and have a large range of applications. Thus, a consensus over their testing must be further developed with the current technological development. Here, we describe existing technical requirements and assessment criteria for a microgrid’s main functionalities to foster harmonization of functionality-level testing and an international conception of system-level one. This framework is proposed as a reference document for assessment frame development serving both microgrid research and implementation for a comprehensive understanding of technical microgrid performance and its current assessment challenges, such as lack of standardization and evolving technology.

Suggested Citation

  • Sophie Marchand & Cristian Monsalve & Thorsten Reimann & Wolfram Heckmann & Jakob Ungerland & Hagen Lauer & Stephan Ruhe & Christoph Krauß, 2021. "Microgrid Systems: Towards a Technical Performance Assessment Frame," Energies, MDPI, vol. 14(8), pages 1-23, April.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2161-:d:535140
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    References listed on IDEAS

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    1. Stadler, Michael & Cardoso, Gonçalo & Mashayekh, Salman & Forget, Thibault & DeForest, Nicholas & Agarwal, Ankit & Schönbein, Anna, 2016. "Value streams in microgrids: A literature review," Applied Energy, Elsevier, vol. 162(C), pages 980-989.
    2. Soshinskaya, Mariya & Crijns-Graus, Wina H.J. & Guerrero, Josep M. & Vasquez, Juan C., 2014. "Microgrids: Experiences, barriers and success factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 659-672.
    3. Rafal Weron & Florian Ziel, 2018. "Electricity price forecasting," HSC Research Reports HSC/18/08, Hugo Steinhaus Center, Wroclaw University of Technology.
    4. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    5. Kow, Ken Weng & Wong, Yee Wan & Rajkumar, Rajparthiban Kumar & Rajkumar, Rajprasad Kumar, 2016. "A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 334-346.
    6. Hosseini, Seyed Amir & Abyaneh, Hossein Askarian & Sadeghi, Seyed Hossein Hesamedin & Razavi, Farzad & Nasiri, Adel, 2016. "An overview of microgrid protection methods and the factors involved," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 174-186.
    7. Palizban, Omid & Kauhaniemi, Kimmo & Guerrero, Josep M., 2014. "Microgrids in active network management—Part I: Hierarchical control, energy storage, virtual power plants, and market participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 428-439.
    8. Nowotarski, Jakub & Weron, Rafał, 2018. "Recent advances in electricity price forecasting: A review of probabilistic forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1548-1568.
    9. Majzoobi, Alireza & Khodaei, Amin, 2017. "Application of microgrids in providing ancillary services to the utility grid," Energy, Elsevier, vol. 123(C), pages 555-563.
    10. Unamuno, Eneko & Barrena, Jon Andoni, 2015. "Hybrid ac/dc microgrids—Part I: Review and classification of topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1251-1259.
    11. Basu, Ashoke Kumar & Chowdhury, S.P. & Chowdhury, S. & Paul, S., 2011. "Microgrids: Energy management by strategic deployment of DERs—A comprehensive survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4348-4356.
    12. Lidula, N.W.A. & Rajapakse, A.D., 2011. "Microgrids research: A review of experimental microgrids and test systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 186-202, January.
    13. Hossein Shayeghi & Elnaz Shahryari & Mohammad Moradzadeh & Pierluigi Siano, 2019. "A Survey on Microgrid Energy Management Considering Flexible Energy Sources," Energies, MDPI, vol. 12(11), pages 1-26, June.
    14. Seyedeh Narjes Fallah & Ravinesh Chand Deo & Mohammad Shojafar & Mauro Conti & Shahaboddin Shamshirband, 2018. "Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions," Energies, MDPI, vol. 11(3), pages 1-31, March.
    15. Vashishtha, Sanjay & Ramachandran, M., 2006. "Multicriteria evaluation of demand side management (DSM) implementation strategies in the Indian power sector," Energy, Elsevier, vol. 31(12), pages 2210-2225.
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    Cited by:

    1. Rodrigo Antonio Sbardeloto Kraemer & Douglas Pereira Dias & Alisson Carlos da Silva & Marcos Aurelio Izumida Martins & Mathias Arno Ludwig, 2022. "Cost and Cybersecurity Challenges in the Commissioning of Microgrids in Critical Infrastructure: COGE Case Study," Energies, MDPI, vol. 15(8), pages 1-14, April.
    2. Anna Ostrowska & Łukasz Michalec & Marek Skarupski & Michał Jasiński & Tomasz Sikorski & Paweł Kostyła & Robert Lis & Grzegorz Mudrak & Tomasz Rodziewicz, 2022. "Power Quality Assessment in a Real Microgrid-Statistical Assessment of Different Long-Term Working Conditions," Energies, MDPI, vol. 15(21), pages 1-26, October.

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